Claude Opus 5

Claude Opus 5 is Anthropic's flagship Opus series model, engineered for advanced reasoning, coding and high-value knowledge-intensive tasks. It delivers cutting-edge performance comparable to Claude Fable 5 at roughly half the cost. It accepts text, image and file inputs and generates text outputs, boasting a 1-million-token context window, making it ideal for complex software engineering, scientific research and long-running agent workflows.

byAnthropicInput TypeOutput TypeContext Window1MMax Output128K

Providers

This model is available from multiple providers. Select one to see its pricing and sample code.

AnthropicDefault

$4.00 / $20.00/ 1M tokens0.80× base price

Supported formatsAnthropic Messages

Official channels of Anthropic

Claude Max

$1.50 / $7.50/ 1M tokens0.30× base price

Supported formatsAnthropic Messages

From Claude Max Membership

Pricing

Transparent pay-as-you-go pricing by token usage — no subscriptions or hidden fees.

Anthropic

anthropic/claude-opus-5

Prices forchange

Per 1M tokens

Input

Prompt and context tokens

$4.00

Output

Generated completion tokens

$20.00

Cache read

Reused or stored prompt context

$0.40

Cache write · 5m

Reused or stored prompt context

$5.00

Cache write · 1h

Reused or stored prompt context

$8.00

Code

Copy an example below to start calling this model in minutes.

API / request example

Sample Code & API

Create API Key

import anthropic

client = anthropic.Anthropic(
    base_url="https://api.apipod.ai",
    api_key="<YOUR_API_KEY>",
)

message = client.messages.create(
    model="claude-opus-5",
    max_tokens=1024,
    messages=[
        {
            "role": "user",
            "content": "What is the meaning of life?",
        }
    ],
)
print(message.content[0].text)

import anthropic client = anthropic.Anthropic( base_url="https://api.apipod.ai", api_key="<YOUR_API_KEY>", ) message = client.messages.create( model="claude-opus-5", max_tokens=1024, messages=[ { "role": "user", "content": "What is the meaning of life?", } ], ) print(message.content[0].text)